Machine Learning (ML), Artificial Intelligence (AI), Hadoop, Pyspark, Autosys, Sql, Angular, React, Spark, Python, Data Architecture, Metadata Management, DevOps practices, Flink, Copilot AI tool, Distributed data processing, Model context, Platform modernization, Performance optimization, Production support models, CI/CD pipelines, Agentic frameworks and flows, Enterprise controls, Data quality frameworks, Generative AI models, Protocol MCP

Django, Docker, Kubernetes, Python development

Retrieval-Augmented Generation (RAG), Api, Python, Microservices, LangGraph, Langchain, Agentic AI, LLMs, multi-agent workflows, backend services, orchestration pipelines

Databases, Scripting, PowerShell, Prometheus, Grafana, Groovy, Shell, Storage, Terraform, Linux, Kubernetes, Python, Azure DevOps, Log Analytics, GitHub Actions, Azure services, Compute, Application Insights, Azure Monitor, Azure networking

Python Programming, Agent Frameworks, Claude, Pinecone, LangChain Agents, Azure OpenAI, Agentic AI solutions, LangGraph, RAG Retrieval-Augmented Generation, Vector Databases, LLM-based applications, ChromaDB, Microservices development, CrewAI, Generative AI, Azure AI Search API, Semantic Kernel, AutoGen, MCP Model Context Protocol, FAISS, Llama, OpenAI, Gemini, Weaviate

triton , Docker, FastAPI, Restful Apis, Python, Kubernetes, Nosql, Pytorch, Big Data, Sagemaker, document databases, TensorRT, ML technologies

Neo4j, Python, embeddings, AgentCore, AWS Bedrock, knowledge graphs, re-ranking, chunking strategy, prompt-library version-management, Veeva Vault, prompt engineering, RAG engineering, LangGraph, vector stores, VQL, Vault REST API, grounding

Machine Learning, Data Analytics, Python, Deep Learning, LLM-based workflows

Pyspark, Apache Spark, Data Warehousing, Kafka, Dimensional Modeling, Sql, ELT, Apache Airflow, Git, Gcp, Terraform, Docker, Databricks, Azure, Python, Kubernetes, AWS, Etl, Apache Iceberg, Generative AI, Delta Lake, Apache Hudi, Large Language Models